Title :
Comparison of nonlinear identification techniques on a benchmark pH neutralization process
Author_Institution :
Laboratory for System Dynamics and Signal Processing, FCEIA, Universidad Nacional de Rosario, and CIFASIS-CONICET, Argentina
Abstract :
In this paper, several state-of-the-art nonlinear identification methods are compared on a benchmark pH neutralization process. Methods based on orthonormal bases for block-oriented nonlinear models, as well as methods based on support vector regression techniques are considered. The advantages and drawbacks of the different methods, and the properties of the estimated models are analyzed.
Keywords :
"Decision support systems","Erbium"
Conference_Titel :
Electrical, Electronics Engineering, Information and Communication Technologies (CHILECON), 2015 CHILEAN Conference on
DOI :
10.1109/Chilecon.2015.7400368